Triple
T31943809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V_ts |
E815593
|
entity |
| Predicate | hasMatrixColumn |
P202223
|
FINISHED |
| Object | second quark generation |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: second quark generation | Statement: [V_ts, hasMatrixColumn, second quark generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMatrixColumn Context triple: [V_ts, hasMatrixColumn, second quark generation]
-
A.
hasMatrixSize
Indicates that an entity (such as a matrix or array) has a specific dimensional size, typically expressed as its number of rows and columns.
-
B.
hasMatrixType
Indicates that an entity is associated with or characterized by a specific type or category of matrix.
-
C.
hasCol
Indicates that one entity possesses, contains, or is associated with a particular color.
-
D.
hasMatrixNumber
Indicates that an entity is associated with a specific matrix identification number used to uniquely reference it.
-
E.
hasMatrixOperations
Indicates that an entity supports or provides functionality for performing matrix-related operations.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a006417d1f4819093b2da02dbf2ab22 |
completed | May 10, 2026, 10:55 a.m. |
| PD | Predicate disambiguation | batch_6a00634a7a748190ac4774493fce3d30 |
completed | May 10, 2026, 10:51 a.m. |
| PDg | Predicate description generation | batch_6a006416f78081909b6ef047c531158d |
completed | May 10, 2026, 10:55 a.m. |
Created at: May 1, 2026, 12:06 a.m.